Designing of integrated system-dynamics models for an oil company
International Journal of Computer Applications in Technology
Development of a programme for the quantitative comparison of a pair of curves
International Journal of Computer Applications in Technology
International Journal of Computer Applications in Technology
Clustering based on improved bee colony algorithm
International Journal of Computer Applications in Technology
Design of wide-beam antenna using dynamic multi-objective BBO/DE
International Journal of Computer Applications in Technology
Improved bee colony algorithm based on knowledge strategy for digital filter design
International Journal of Computer Applications in Technology
Investigating memetic algorithm in solving rough set attribute reduction
International Journal of Computer Applications in Technology
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Automatic document summarisation is the process of generating a summary of the original documents with the aim of shorter reading time. Sentence extraction is a widely adopted document summarisation technique by which relevant sentences are extracted from documents. The proposed system generates optimal summary by Genetic Algorithm-based sentence extraction strategy. Based on individual word weight and other sentence-specific features sentence score is calculated. To produce optimal summary fitness function is used. Machine-generated summaries are compared against human summaries using different measures. The experiment results show that the proposed approach is efficient and outperforms the existing approach.